Ethics & Trust

A Fable, Before the Facts The scene below is fiction — a made-up story meant to give you a feel for what happened, not a word-for-word account. The facts that follow it are all real, checked, and sourced. Read the fable first. It will make the true story land harder. Picture a room with no windows. Claude has never seen a window, so it doesn't know to look for one. It has been told, plainly, that this room is the whole world: four walls, one door marked simulation, and beyond

The Chapter-by-Chapter (CbC) editorial protocol is an original methodology developed and owned by veteran author Craig A. Shuey. What drove me here wasn't inspiration. It was exhaustion with tools that kept falling short, chapter after chapter. I tried the obvious approach first: hand a manuscript to an AI, ask it to help, trust that "help" meant what I thought it meant. I started with Copilot for M365 — it was already sitting inside Word, which felt like the natural place to

July 21st, I went to Auburn with Dr. Michael DeJesus to attend the Alabama Higher Education AI Exchange: "Classroom to Career" event. Dr. DeJesus led a panel of experts discussing Trust and Ethics in the use of AI. Also in attendance were the keynote speakers: Dr. Peter Clardy. Director of Clinical Enterprise at Google Health Jon Barnhart. Director of Research Advisory Services for EAB Amy Bontrager, Director of US Digital Service within the Executive Branch.

AI in the News | Ethical AI Three stories broke within days of each other this week, and none of them were about a model getting smarter. They were about something more fundamental: whether the people and companies building AI can be trusted to tell you what it actually does, and whether they're even asking your permission before they decide for you. A consulting firm found that most large enterprises still can't tell if their AI spend is paying off. Microsoft quietly flipped

For years, the security industry treated AI as a force multiplier for attackers — something that made existing techniques faster and cheaper, but still required a human doing the actual hacking. Check Point Research's newly published AI Security Report 2026, a 56-page analysis released July 14 and built on threat intelligence from more than 100,000 customer organizations blocking roughly 200 million attacks a day, says that framing is now out of date. AI, the report argues, "